What is Office Space Utilization Measurement?

The methods and data sources used to collect evidence about how office desks, rooms and floors are actually used.

Definition

Measuring office space utilization means collecting reliable evidence about how much of an office is used, when and where. It covers the choice of data source, the sampling method, the time window and the way results are cleaned and reported. Good measurement turns impressions such as the office feels empty into numbers that can support leasing, layout and policy decisions.

The main methods are manual observation studies, booking and access-control data, network data and occupancy sensors. Each method sees a different slice of reality, and each has trade-offs between cost, accuracy, coverage and privacy. Most mature organisations combine at least two of them.

Interest in measurement has grown quickly. CBRE's European Office Occupier Sentiment Survey 2025 found that 88% of surveyed companies measure workspace effectiveness, up from 60% in 2024.

Example

A 150-person firm wants to know whether it can give up half a floor when its lease ends. It runs a two-week observation study, with a coordinator walking the floor every hour and recording occupied desks and rooms on a printed floor plan. At the same time it exports badge data and desk bookings for the same two weeks.

Badge data shows an average of 82 people entering per day. Walk-through counts show that at the busiest hour only 68 desks were occupied, because many people were in meeting rooms or out at lunch. Bookings show 95 desks reserved on the busiest day, of which 14 were never used. Combining the three sources gives the firm a defensible picture of peak demand before it negotiates the lease.

How it relates to an office map

With the Office Map Editor you start from an accurate plan where every desk and room is drawn and labelled, which is the foundation of any measurement study. Bookings, assigned seats and attendance then appear on the same map, so you can compare data sources desk by desk.

Measurement methods compared

Choose methods according to the question you need to answer and the budget you have. A one-off lease decision may need only a short observation study, while an ongoing hybrid work programme benefits from continuous data.

Manual observation: staff record occupancy at set times; cheap and detailed but labour-intensive and limited in duration
Booking data: desk and room reservations; shows intent and no-shows but not actual use
Access control (badge) data: building entries; good for attendance trends but blind to where people sit
Wi-Fi or network data: device connections by area; broad coverage but imprecise at desk level
Occupancy sensors: presence at desks or in rooms; precise and continuous but higher cost and privacy questions
Surveys: how people say they use space; useful context but subject to recall bias

Why badge data alone is not enough

Badge data is the most widely available source, but it measures attendance, not space use. Van Vlissingen and Co.'s analysis of Kastle's Back to Work Barometer explains that the Barometer counts only each cardholder's first building entry per day and compares it with a February 2020 baseline. The same analysis notes that most badge systems record entry but not exit, tailgating goes uncounted and visitors can be mixed in with employees.

Use badge data for trends and day-of-week patterns. Use observation, bookings or sensors when you need to know which desks, rooms and zones are actually used.

Designing a measurement study

Define the decision first, then the data. If the question is whether to shrink, measure peak demand over several representative weeks. If the question is which rooms to build, measure room size versus attendees. Avoid weeks with holidays, office events or unusual travel unless you want to capture them deliberately.

Record the time window, opening hours, capacity definition and data sources in a short method note. Anyone reading the results later should be able to understand exactly how the numbers were produced.

Sampling frequency and duration

Hourly counts are a practical standard for manual studies because they capture the shape of a working day without overwhelming observers. Two to four weeks usually reveal stable day-of-week patterns. Continuous data from sensors or bookings removes sampling limits but still needs a defined reporting window, such as the median of the last eight weeks.

Privacy and trust

Employees may worry that utilization measurement is surveillance. Be transparent about what is measured, why and how data is aggregated. Report by zone, floor or team rather than by individual. Choose sensors that detect presence without identifying people where possible, and publish the results so employees see how the data improves their workplace.

Cleaning and validating data

Raw data always contains noise: duplicate badge swipes, bookings left open, sensors triggered by bags on chairs. Spot-check a sample of records against a walk-through count. If two sources disagree strongly, investigate before reporting. A short validation step prevents a bad number from driving a large real estate decision.

From measurement to action

Measurement is only useful if it changes something. Translate findings into options on the floor plan: resize a neighbourhood, convert desks to rooms, introduce team days or release space. Re-measure after each change to see whether the problem was solved.

IFMA's guide frames the goal as moving from reacting to space requests to shaping the portfolio leadership pays for, with utilization data as the evidence.

Timeline for a first measurement project

A first project for a single office can be completed in about six weeks. Week one is preparation: update the floor plan, define capacity, choose data sources and brief employees. Weeks two to four are data collection. Week five is cleaning, calculation and analysis. Week six is presenting findings and agreeing on actions.

Plan a follow-up measurement for two or three months after any change. This second round is often the most valuable, because it shows whether the change actually solved the problem and builds confidence in using data for future decisions.

Week 1: plan, map and communicate
Weeks 2–4: collect data
Week 5: clean, calculate and analyse
Week 6: present and decide
Months 2–3: re-measure after changes

Related concepts explained

A few technical terms describe the main data sources used in measurement.

Presence sensor: a device that detects whether a desk or room is occupied, ideally without identifying people
Access control data: records of badge or app entries to a building
Network data: counts of devices connected to Wi-Fi access points by area

Putting it into practice

Before buying any technology, run a short manual study. It will show which questions matter and which data you actually need, so later investments are targeted rather than speculative.

Combining methods for a reliable picture

Each data source has blind spots, so combining two or three gives a more defensible result. A common combination is badge data for daily attendance trends, bookings for intent and no-shows and periodic walk-through counts to validate actual desk and room use. Where budgets allow, sensors in a sample of areas provide continuous data that can be extrapolated with care.

When sources disagree, the disagreement itself is useful information. If bookings consistently exceed observed use, the organisation has a no-show problem. If badge entries are high but desk use is low, people may be spending most of their time in meetings or social areas, which points towards more collaboration space rather than more desks.

Budget-friendly measurement

Organisations without sensor budgets can still measure well. A coordinator with a printed or tablet floor plan can complete an hourly walk of a 100-desk floor in a few minutes. Over two weeks that produces hundreds of observations. Combined with existing booking and badge exports, it is enough to make most layout and policy decisions with confidence.

Key takeaways

Measurement principles that apply whatever tools you use.

Start from the decision, not the technology
Use a current floor plan as the capacity baseline
Combine at least two data sources
Document the method so results can be repeated
Validate data with spot checks
Be transparent with employees about what is measured

Frequently asked questions

Do I need sensors to measure utilization? No. Sensors add continuity and precision, but observation counts combined with booking and badge data are enough for many decisions.

Is badge data a good measure of utilization? It is a good measure of attendance trends but cannot show where people sat or how long they stayed, so it should be combined with other sources.

How do I handle employee privacy? Measure presence rather than identity where possible, aggregate results by zone or team and explain clearly how the data will be used.

Summary

Measuring office space utilization well depends less on technology than on method. Define the decision, use a current floor plan as the capacity baseline, combine at least two data sources, validate them and be transparent with employees. Badge data shows attendance trends, bookings show intent, observation and sensors show actual use. Together they give a picture reliable enough to support layout, policy and lease decisions.